Why the study?
Does a novel Daubechies wavelet-based algorithm improve the automated detection of S1 and S2 heart sounds in children with and without pulmonary arterial hypertension compared to existing algorithms?
Population
22 pediatric subjects undergoing right heart cardiac catheterization. 11 subjects had pulmonary arterial…
Comparison
A novel Daubechies wavelet algorithm using the… vs Four other published Daubechies wavelet-based…
Design
Cross-sectional
Authors
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May aid pediatric PAH assessment; leaves open prospective validation before clinical adoption.
Does a novel Daubechies wavelet-based algorithm improve the automated detection of S1 and S2 heart sounds in children with and without pulmonary arterial hypertension compared to existing algorithms?
A novel Daubechies wavelet-based algorithm demonstrated improved sensitivity and positive predictivity for detecting S1 and S2 heart sounds in children compared to existing algorithms, potentially aiding in the noninvasive screening of pulmonary arterial hypertension.
Elgendi et al. (2015) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: